A total variation based approach to correcting surface coil magnetic resonance images
DOI10.1016/j.amc.2011.03.002zbMath1223.92028OpenAlexW2066600307WikidataQ115155166 ScholiaQ115155166MaRDI QIDQ720605
Stephen L. Keeling, Florian Knoll, Antoine Laurain, Daniel Kraft, Michael Hintermüller
Publication date: 11 October 2011
Published in: Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: http://unipub.uni-graz.at/doi/doi:10.1016/j.amc.2011.03.002
Probabilistic models, generic numerical methods in probability and statistics (65C20) Numerical optimization and variational techniques (65K10) Biomedical imaging and signal processing (92C55)
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Cites Work
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- A variational approach to magnetic resonance coil sensitivity estimation
- Geometric multigrid for high-order regularizations of early vision problems
- On a bilinear optimization problem in parallel magnetic resonance imaging
- Multiphase image segmentation and modulation recovery based on shape and topological sensitivity
- Total variation based convex filters for medical imaging
- Dual norms and image decomposition models
- An adaptive fuzzy C-means algorithm for image segmentation in the presence of intensity inhomogeneities
- A Nonlinear Primal-Dual Method for Total Variation-Based Image Restoration
- Total Bounded Variation Regularization as a Bilaterally Constrained Optimization Problem
- An Infeasible Primal-Dual Algorithm for Total Bounded Variation--Based Inf-Convolution-Type Image Restoration
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